Triple

T22330647
Position Surface form Disambiguated ID Type / Status
Subject PEP 333 E552012 entity
Predicate targetPythonVersion P33702 FINISHED
Object Python 2 NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Python 2 | Statement: [PEP 333, targetPythonVersion, Python 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python 2
Context triple: [PEP 333, targetPythonVersion, Python 2]
  • A. Python 2 chosen
    Python 2 is an older major version of the Python programming language that has been widely used but is now officially deprecated in favor of Python 3.
  • B. Python 2.7
    Python 2.7 is a legacy version of the Python programming language that was widely used for many years before reaching its official end-of-life in 2020.
  • C. Python 2.0
    Python 2.0 is a major early release of the Python programming language that introduced significant new features and improvements, helping to shape Python’s modern development ecosystem.
  • D. Python 2.1
    Python 2.1 is an early 2001 release of the Python programming language that introduced several core features and standard library enhancements that shaped modern Python development.
  • E. Python 2.5
    Python 2.5 is an older major release of the Python programming language that introduced several significant features and standard library enhancements, helping pave the way toward the more modern Python 3 series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetPythonVersion
Context triple: [PEP 333, targetPythonVersion, Python 2]
  • A. languageVersions
    Indicates a relationship where one entity represents a specific version or variant of a language associated with another entity.
  • B. versionOf
    Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
  • C. targetRelease
    Indicates the specific release or version that an item (such as a feature, fix, or component) is planned or designated to be delivered in.
  • D. requiresLanguageVersion chosen
    Indicates that one entity depends on or must use a specific version of a language in order to function or be considered valid.
  • E. versionExample
    Indicates that one entity serves as an example or illustrative instance of a particular version of another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e73004d9e88190bb862319a5aea06b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:43 p.m.